Selecting valuable training samples for SVMs via data structure analysis.
Defeng WangLin ShiPublished in: Neurocomputing (2008)
Keyphrases
- training samples
- data structure
- training set
- decision function
- sample set
- feature space
- decision boundary
- support vector
- support vectors
- hyperplane
- support vector machine svm
- training data
- high quality
- support vector machine
- number of training samples
- model selection
- supervised learning
- small number
- data sets
- classification accuracy
- reinforcement learning
- learning algorithm
- machine learning
- data mining